Human Support Robot

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Ritsumeikan Univ, Emergent Systems Lab.

Last updated: Nov. 21, 2022

Development of a knowledge transfer system among robots based on a multimodal concept acquisition model

Member

  • Yoshinobu Hagiwara, Associate Professor, Ritsumeikan University
  • Tadahiro Taniguchi, Professor, Ritsumaikan University
  • Akira Taniguchi, Lecturer, Ritsumikan University
  • Takahiro Fukumori, Lecturer, Ritsumeikan University
  • Lotfi El Hafi, Assistant Professor, Ritsumeikan University
  • Tadashi Matsuo, Assistant Professor, Ritsumeikan University
  • Shoichi Hasegawa, Ph.D. Student, Ritsumeikan University
  • Masaki Ito, Student, Ritsumeikan University

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Abstract

To achieve object goal navigation and other tasks, it is desirable for the robot to efficiently acquire the knowledge of objects and places from a small amount of data in a novel home environment. We develop a system that transfers the knowledge of objects and places acquired in home environments between robots. The knowledge transfer system is developed by extending a probabilistic generative model that forms the concepts of objects and places based on multimodal information to multi-agent systems. The developed model will be implemented in a distributed manner on multiple networked robots (HSR) to form a knowledge transfer system.

Reference

  1. Y. Hagiwara, K. Taguchi, S. Ishibushi, A. Taniguchi & T. Taniguchi, “Hierarchical Bayesian model for the transfer of knowledge on spatial concepts based on multimodal information”, Advanced Robotics, Vol. 36, Issue 1-2, pp. 33-53, 25 Nov. 2021.
  2. A. Taniguchi, S. Isobe, L. El Hafi, Y. Hagiwara & T. Taniguchi, “Autonomous planning based on spatial concepts to tidy up home environments with service robots”, Advanced Robotics, Vol. 35, Issue 8, pp. 471-489, 22 Feb. 2021.
  3. L. El Hafi, S. Isobe, Y. Tabuchi, Y. Katsumata, H. Nakamura, T. Fukui, T. Matsuo, G. A. Garcia Ricardez, M. Yamamoto, A. Taniguchi, Y. Hagiwara, and T. Taniguchi, “System for Augmented Human-Robot Interaction Through Mixed Reality and Robot Training by Non-Experts in Customer Service Environments”, Advanced Robotics, Vol. 34, No. 3, pp. 1-16, Nov. 2019.
  4. T. Taniguchi, D. Mochihashi, T. Nagai, S. Uchida, N. Inoue, T. Nakamura, Y. Hagiwara, N. Iwahashi, T. Inamura, “Survey on frontiers of language and robotics”, Advanced Robotics, Vol. 33, No. 15-16, pp. 700-730, Jan. 2019.